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What techniques would you use to ensure data consistency in a distributed database?

General/Otherhard0.3 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

**Techniques:** (1) 2PC—coordinator commits/aborts all. (2) Saga—compensating tx for eventual consistency. (3) Distributed tx (Percolator/Spanner). (4) Eventual + conflict resolution (CRDTs, vector clocks)....

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67 words

Techniques: (1) 2PC—coordinator commits/aborts all. (2) Saga—compensating tx for eventual consistency. (3) Distributed tx (Percolator/Spanner). (4) Eventual + conflict resolution (CRDTs, vector clocks). (5) Strong consistency where needed—single-partition writes.

Architecture Diagram:

[Client] --> [Coordinator]
| |
v v
[Partition A] [Partition B] [Partition C]
| | |
+----2PC Phase 1 (Prepare)----+
| | |
+----2PC Phase 2 (Commit)-----+

Trade-off: Strong consistency limits scale; choose per use case.

⚡
Pro Tip

Pro-Move: Choose consistency level per use case with rationale. Red Flag: Global strong consistency for scale.

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